Actionable data is key to business growth, and people, business transactions, and devices are creating new data at constantly accelerating speeds. But the value of this data is often lost within moments from its creation—especially with the proliferation of Internet of Things (IoT) data. Traditional analytics architectures have struggled to keep up.
New breeds of faster analytics engines built with heterogeneous computing architectures and open APIs enable organizations to get fast data analysis and increased insight from their data. These new architectures help conquer many of the challenges that plague data scientists and analytics users today—including the following five key hurdles—by:
Pat McGarry explores computing architectures that allow organizations to move beyond x86-only environments to embrace heterogeneous computing techniques incorporating other technologies, including FPGAs and GPUs, while abstracting them in such a way as to empower business decisions. Pat demonstrates how heterogeneous hardware with connectors to large cluster-based systems such as Hadoop and Spark can drive faster and better insights from data. Attendees will learn how companies are using these infrastructures in a variety of industries—including smart retail, financial services, healthcare, cyber security, and more—providing a means to answer important business questions instead of generating new bottlenecks.
This session is sponsored by Ryft.
Pat McGarry brings extensive technology and leadership experience in hardware and software engineering to his role as vice president of engineering at Ryft. Pat joined Ryft from Ixia Communications, where he was responsible for federal security systems engineering programs. During his tenure at Ixia and BreakingPoint Systems, Pat spent several years working in the cyber security industry within the DoD and the intelligence communities, conducting experimentation and analysis of cyber-related performance and security concerns on arbitrary network infrastructures.
Prior to BreakingPoint, Pat held leadership roles in product and engineering management. This included hardware and software design in the realm of embedded systems, network systems, and cyber security while working at Spirent and Hekimian Laboratories. He earned bachelor’s degrees in computer science and electrical engineering from Virginia Tech.
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